Paper Citation Record · LEDGER

Nemotron-CC-Math: A 133 Billion-Token-Scale High Quality Math Pretraining Dataset

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2508.15096.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2508.15096 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:46:08.663478Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-02T22:17:25.570609Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8b61326d-aa7e-4110-be00-3286e7e2c861 · inbound

NVIDIA Nemotron 3: Efficient and Open Intelligence cites this paper.

NVIDIA Nemotron 3: Efficient and Open Intelligence Nemotron-CC-Math: A 133 Billion-Token-Scale High Quality Math Pretraining Dataset

Reference 167

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:40:42.701930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 595801c1-8230-476e-bfdf-c37b3365fea0 · inbound

OProver: A Unified Framework for Agentic Formal Theorem Proving cites this paper.

OProver: A Unified Framework for Agentic Formal Theorem Proving Nemotron-CC-Math: A 133 Billion-Token-Scale High Quality Math Pretraining Dataset

Reference 167

Resolution: verified exact; arxiv_id, observed 2026-05-20T14:48:23.481235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c9838a34-4047-4613-b263-3f0c9fa17199 · inbound

Forgetting in Language Models: Capacity, Optimization, and Self-Generated Replay cites this paper.

Forgetting in Language Models: Capacity, Optimization, and Self-Generated Replay Nemotron-CC-Math: A 133 Billion-Token-Scale High Quality Math Pretraining Dataset

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T23:24:02.033824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cd0c6fd2-c55a-4250-9606-d64c7fcef9a2 · inbound

Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale cites this paper.

Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Nemotron-CC-Math: A 133 Billion-Token-Scale High Quality Math Pretraining Dataset

Reference 160

Resolution: verified exact; arxiv_id, observed 2026-07-02T22:17:25.572115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation eaefe7f7-e2e1-4d9a-a16e-7912ed8c774e · inbound

A Sovereign, Open-Source Foundation Model for German and English cites this paper.

A Sovereign, Open-Source Foundation Model for German and English Nemotron-CC-Math: A 133 Billion-Token-Scale High Quality Math Pretraining Dataset

Reference 51

Resolution: unresolved; no resolver link, observed 2026-07-13T03:06:27.991558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a0805cf-37dc-4d24-82e3-7af1ec0f729e · inbound

A Sovereign, Open-Source Foundation Model for German and English cites this paper.

A Sovereign, Open-Source Foundation Model for German and English Nemotron-CC-Math: A 133 Billion-Token-Scale High Quality Math Pretraining Dataset

Reference 51

Resolution: unresolved; no resolver link, observed 2026-07-14T15:13:39.458378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc0ea5db-9a2d-4647-ad98-c6ff9bcf8ba3 · inbound

A Sovereign, Open-Source Foundation Model for German and English cites this paper.

A Sovereign, Open-Source Foundation Model for German and English Nemotron-CC-Math: A 133 Billion-Token-Scale High Quality Math Pretraining Dataset

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-02T07:45:34.805421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fa24bc0-fc18-4e03-b808-19433a53a2e6 · inbound

Understanding Reasoning from Pretraining to Post-Training cites this paper.

Understanding Reasoning from Pretraining to Post-Training Nemotron-CC-Math: A 133 Billion-Token-Scale High Quality Math Pretraining Dataset

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-01T21:26:36.017309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49aceb4f-bff6-491f-8bea-7b0fa4c128d9 · inbound

Bridging Compute- and Data-Optimal Pretraining cites this paper.

Bridging Compute- and Data-Optimal Pretraining Nemotron-CC-Math: A 133 Billion-Token-Scale High Quality Math Pretraining Dataset

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-01T03:02:03.886828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad6e653a-c056-461a-b5f3-84bb392367e2 · inbound

LoopMTP: A looped transformer guided by latent multi-token prediction cites this paper.

LoopMTP: A looped transformer guided by latent multi-token prediction Nemotron-CC-Math: A 133 Billion-Token-Scale High Quality Math Pretraining Dataset

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-05T15:54:17.171405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8770db68-bc35-41c0-a8bd-1816e6f2bbc5 · inbound

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora cites this paper.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Nemotron-CC-Math: A 133 Billion-Token-Scale High Quality Math Pretraining Dataset

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T23:46:08.663478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.